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other field or laboratory instrumentation Apply appropriate behavioral, statistical, econometric, causal, spatial, machine learning, deep learning, computer vision, time-series, or mixed-methods
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, education, engineering, and innovation initiatives. •Coordinates the development and application of advanced analytical methods, including statistical analysis, predictive modeling, machine learning
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timelines. Identify, recruit, and engage potential participants using methods such as EMR tools, registries, community outreach, digital campaigns, and approved advertising. Utilize systems (e.g., Epic, HERON
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adaptation; reinforcement learning and inverse reinforcement learning. o Machine Learning & Intelligence, including machine learning and adaptation; deep learning; computer vision; machine intelligence
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adaptation; reinforcement learning and inverse reinforcement learning. o Machine Learning & Intelligence, including machine learning and adaptation; deep learning; computer vision; machine intelligence
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residential schools, methods workshops, monthly research seminars and joint work with organisations beyond academia. Every project includes a planned six-month intersectoral secondment. The doctoral project
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’ Cognitive Autonomy in Human-AI Interaction’). Research objectives This project develops methods to detect changes in users' cognitive load and designs digital interventions that support cognitive autonomy in
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of extracting behavioural insight from increasingly complex and high-dimensional datasets? Would you like to help shape the next generation of behavioural modelling methods with applications in transport, health
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methods (including case discussions, simulations, and applied projects), and emphasize active student participation. Course assignments and scheduling will depend on program needs and instructor expertise
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methods. In addition, systematic phenotyping of the strains in the collection such as measurement of their relative growth rates, will be performed to add more value to this collection for the community